Nebula House’s Post

Great developers aren't the people who can type the hardest. Great developers are the ones who can code the smartest. So when I started discussing a number of problems with one of my colleagues I was massively relieved to hear that their programs are problem-solving, not words per minute. The main goal of the engineering team is to create functional programs. This takes domain knowledge, strong people skills and effective communications over problem-solving. We previously has a team of 4 in place who had been so successful this year they have just been green lit to double the headcount across their engineering team. Tomorrow, I have more programs to program as well... Theres a reason our approach is so successful - its focused on programming - not typing speed! #menintech #tech #work #programming #react #jquery #java #php

Day 127- Mastering Dynamic Programming 💻💡 Problem 1: Closest subsequence sum - https://lnkd.in/eHf_DPNn Given an array, I had to find a subsequence sum such that the absolute difference in sum and the given goal is minimum. The array size of n is given. To find the subset sum such that, the absolute difference in subset sum and goal should be minimum. For 0≤n≤40, the worst case will be O(2^40) which is around 10^12. In 1 sec we can handle only 10^8. Hence Man in the middle. We break the array size in to 2 parts and find subset sum individually. Then sort the second sub set sum list. For each element in the first subset sum list, we look for an element in the second list using binary search such that when added together should be closer to the goal. (left[i] + right[mid] ~ goal). Here after binary search we will check whether element at low is giving minimum difference or element at high. For every element in the left and for every found element in the right, result = min(result, goal - left+right), we keep updating the right. Time complexity is 2^n/2 + 2^n/2 + n/2*2^n/2 + n/2*2^n/2 = O(n/2*2^n/2). This should be fine and in the worst case its 20*2^20. Happy Coding! #coding #softwareengineering #programming #developer #techjobs #100daysofcode #devcommunity #technology #hiringnow #techrecruiting #engineeringjobs #softwaredeveloper #fullstackdeveloper #datastructures #algorithms #leetcode #techcareer #jobsearching #java #javascript #opentowork

🚀 Day 16: Recursion Recursion is a programming technique where a function calls itself to solve smaller instances of a problem. It involves two main components: Base Case: The condition under which the recursion stops to avoid infinite loops. Recursive Case: The part of the function where it calls itself with updated parameters to solve a smaller subproblem. #30dayJavaScriptChallenge with #ChaiAurCode by Hitesh Choudhary. Basic Recursion: - Factorial Calculation: Created a function to compute factorials using recursion. Recursion with Arrays: - Sum of Array Elements: Implemented a recursive approach to calculate the sum of elements in an array. - Find Maximum Element: Developed a function to find the maximum value in an array using recursion. String Manipulation with Recursion: - Reverse String: Built a recursive function to reverse a string. - Palindrome Check: Created a function to determine if a string is a palindrome. Recursive Search: - Binary Search: Implemented a recursive search function to find an element in an array. GitHub Repo - https://lnkd.in/gQKuE9an #JavaScript #Learning #Coding #WebDevelopment #Programming #Reactjs #Frontend #TechJourney #SkillBuilding #CodeChallenge #Developer #TechSkills #30dayJavaScriptChallenge #chaiaurcode LinkedIn YouTube #100daysofcode #hr #hiring #opentowork #job #ui

Something that hit me very powerfully in Software Development is how we try to compare technologies, especially in the earlier stages of our careers, and after a certain amount of time has passed, we start seeing technologies not as one better than the other but as tools serving different purposes. I started reading code of different programming languages, such as Python, C++, Java, and it is impressive how they are all fundamentally similar. You start seeing the area of programming as a whole area in which you solve a problem, and being focused on a tool becomes irrelevant, that's amazing. That is to say, this lesson reflects the importance of learning the basics, logic, algorithm, design patterns, etc. Such elements are reusable when changing between different languages and technologies, and even better: you'll find many concepts really useful in life itself. #frontenddevelopment #software #softwaredevelopment #tech #it #react #angular

⚫ Low-code/No-code Full Stack Development These are the frameworks that are built on actual programming languages like Python, Java, and C++. Users who do not know how to code or do not have time to code use these Low Code/No-code Development. These are the methods of designing and developing apps using intuitive drag and drop tools that reduce or eliminate the need for traditional developers who write code. 👉 But this solution will not work for companies, working on complex and advanced projects. #AI #LowCode #NoCode #Coding #FullStackDeveloper #ComputerScience #Tech #IT #Innovation #Career #Growth #Techniques #Method #Tools #Python #Java #Website

Day 124- Mastering Dynamic Programming 💻💡 Problem 1: Subset sum equal to target - https://lnkd.in/e239dh58 Given a array, I need to find out if there exists a subset with given target as the sum. I initially drawn a recursion tree and checked all possible scenarios using pick and non pick method. Pick = f(sum+arr[i], i+1) nPick = f(sum, i+1). If i goes greater than n then return false. If sum reaches target then return true. Found overlapping sub problems and memorised even in a 2D array of target x n. If then sum goes beyond target then return false. Then to exclude recursion stack space I used tabulation method here in the 2D array of target x n, when target is 0 then sub set is achievable so made that row true. Similarly when n is 0 then cannot achievable except when target 0 so made false. Now at every target and index of n took pick and non pick. Non pick is dp[i][j-1], pick is if the current target is less than arr[j-1] then we take dp[i-arr[j-1]][j-1] and dp[i][j] = pick || non pick. Happy Coding! #coding #softwareengineering #programming #developer #techjobs #100daysofcode #devcommunity #technology #hiringnow #techrecruiting #engineeringjobs #softwaredeveloper #fullstackdeveloper #datastructures #algorithms #leetcode #techcareer #jobsearching #java #javascript #opentowork

Which is better Java or Python 😂😂? Join devloprr.com - a social media platform for developers where you can interact with other developers, create content & grow your career and earn money #programming #coding #programmer #python #developer #javascript #technology #code #java #coder #html #computerscience #software #tech #css #webdeveloper #webdevelopment #codinglife #softwaredeveloper #linux #programmingmemes #webdesign #programmers #programminglife #php #hacking #pythonprogramming #machinelearning #memes #softwareengineer

🚀 Exciting Update: I have successfully completed 100 Java code challenges! 🎉 Through these challenges, I've honed my skills in Java programming, mastering concepts like data structures, algorithms, and problem-solving techniques. Each challenge has not only tested my knowledge but also helped me grow as a developer. I'm thrilled to have achieved this milestone and look forward to applying my skills to more challenging projects. I'm open to new opportunities where I can contribute my expertise in Java and continue to learn and grow in the field of software development. #Java #Coding #AchievementUnlocked #SoftwareDevelopment https://lnkd.in/eA7QJQcJ #java #python #javascript #programming #coding #html #programmer #developer #css #code #coder #php #software #computerscience #webdeveloper #webdevelopment #softwaredeveloper #codinglife #technology #linux #webdesign #android #indonesia #programmingmemes #tech #programmers #development #c #softwareengineer #computer

🚀New to #programming ? There's no one-size-fits-all! From #beginner-friendly Scratch to advanced, here's a thread on programming #languages to kickstart your journey Scratch: Great for beginners with its block-based approach. #basic: Early language popular in the 1960s and 1970s. #Python : Easy-to-read #syntax, perfect for #starters. #javascript: Adds interactivity to #web pages. #Bash/Powershell: #Automated tasks on your computer. #HTML /#CSS : Define web page structure and style. #SQL : Communicate with #databases seamlessly. #PHP : Create #serverside scripts for #web pages. #Lua : Embedded in many #gameengines for #scripting. #ruby: Often used for #webdevelopment. R/Julia: Used for #DataScience Java: Versatile language for web, enterprise, and mobile. C#: Similar to #Java, widely used across platforms. #Kotlin /#Swift /#DART : Develop #mobileapps. #golang: Built for high-performance systems software. #Haskell: Known for its elegance and conciseness. F#: Functional language supporting object-oriented programming. #Scala: Supports both object-oriented and functional programming. #Clojure: Functional language, also a Lisp dialect. #OCaml: Used extensively at #Facebook for functional programming. Elixir: Builds web applications using functional paradigms. Elm: Compiles to #JavaScript, ideal for #webapps. C: Often used for #systemsprogramming. C++: Adds features like #objectoriented #programming to C. #Prolog: Logic programming language. #Assembly: Communicates directly with #hardware. #Machinecode: Lowest-level language computers understand. #NewDev #TechOpportunity #BuildingFutures #InnovateWithCode #CodingPros #FutureTechMakers

Concurrency in programming refers to the simultaneous execution of multiple sequences of operations or tasks. Key concepts include: 1. Threads and Processes: Threads are units of execution within a process that share memory, while processes run independently with separate memory spaces. 2. Parallelism: Performing multiple operations simultaneously to improve performance. 3. Asynchronous Programming: Running tasks independently of the main program flow, useful for tasks involving external resources. 4. Synchronization: Managing access to shared resources to ensure data consistency using primitives like mutexes and locks. 5. Concurrency Control: Handling issues like deadlocks and race conditions to ensure safe and predictable operations. Benefits: - Improved performance - Better resource utilization - More responsive applications Challenges: - Increased complexity - Difficult debugging - Synchronization overhead #SoftwareEngineering #Concurrency #Optimization Python Coding JavaScript Developer